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 titleauthorsabstracttypejournalpublished year
DetailsBayesian Networks without
Tears
Eugene Charniak TutorialThe American Association
for Artificial
Intelligence
1991
DetailsBayesian Protein
Secondary Structure
Prediction With
Near-Optimal
Segmentations
Aydin, Z., Altunbasak,
Y., Erdogan, H.
Secondary structure prediction is an invaluable
tool in determining the 3 D structure and function
of proteins Typically protein secondary structure
prediction methods suffer from low accuracy
Journal PaperIEEE Transactions on
Signal Processing
2007
DetailsBayesian regression and
classification
Christopher M. Bishop,
Michael E. Tipping
In recent years Bayesian methods have become widespread
in many domains including computer vision signal
processing information retrieval and genome data
analysis The availability of fast ...
ChapterAdvances in Learning
Theory: Methods, Models
and Applications
 
DetailsBehind the screens - the
future of CAD/CAM
graham whitworth,
computervision ltd
Computer aided design and manufacture (CADCAM) is
a key part of the process of adding value to manufactured
products Its successful implementation though
demands the adoption of "concurrent ...
Journal  
DetailsBeyin Beyaz Cevheri ve
Eliptik Fourier
Öznitelikleri (In
Turkish)
A. Demir, M. Ünel, R.
Deriche, G. Ünal
 Conference PaperIEEE 20. Sinyal İşleme
ve İletişim
Uygulamaları Kurultayı,
Fethiye, Nisan 2012
2012
DetailsBeyinden Bilgisayara Bir
Yol: Beyin Bilgisayar
Arayüzü
Ali Özgür Argunşah Magazin ArticleElektrik Mühendisliği
Dergisi
2006
DetailsBi-quadratic B-Spline
Surfaces Generated from
Arbitrary Polyhedral
Meshes: A Constructive
Approach
S. T. TAN, K. C. CHAN JournalCOMPUTER VISION,
GRAPHICS, AND IMAGE
PROCESSING
 
DetailsBinary and Nonbinary
Description of
Hypointensity for Search
and Retrieval of Brain MR
Images
Devrim Unay, Xiojing C.
Chen, Mujdat Cetin, Aytul
Ercil, Radu Jasinschi,
Ahmet Ekin
Diagnosis accuracy in the medical field is mainly
affected by either lack of suffcient understanding
of some diseases or the inter intra observer variability
of the diagnoses We believe that ...
Conference PaperIS&T/SPIE Electronic
Imaging, Multimedia
Content Access:
Algorithms and Systems
III, San Jose,
California, USA, January
2009
2009
DetailsBiomedical image time
series registration with
particle filtering
A. Murat Yagcı, Ertunç
Erdil, A. Özgür
Argunsah, Devrim Ünay,
Müjdat Çetin, Lale
Akarun, Fikret Gürgen
We propose a family of methods for biomedical image
time series registration based on Particle filtering
The first method applies an intensity based information
theoretic approach to calculate ...
Conference PaperSIU 20132013
DetailsBiometric Authentication
Revisited:Understanding
the Impact of Wolves in
Sheep's Clothing
Lucas Ballard, Fabian
Monrose, Daniel Lopresti
Biometric security is a topic of rapidly growing
importance especially as it applies to user authentication
and key generation In this paper we describe
our initial steps towards developing ...
   
DetailsBiometric Authentication
Systems
Vaclav Matyas Jr., Zdenek
Riha
 Report  
DetailsBiometric Authentication
using Online Signatures
Alisher Kholmatov and
Berrin Yanikoglu
We overview biometric authentication and present
a system for on line signature verification approaching
the problem as a two class pattern recognition
problem During enrollment reference ...
Conference PaperISCIS 20042004
DetailsBiometric Identification
Through Hand Geometry
Measurements
Raul Sanchez-Reillo,
Carmen Sanchez-Avila, Ana
Gonzalez-Marcos
 PaperIEEE Transactions on
Pattern Analysis and
Machine Intelligence,
Vol. 22, No. 10, October
2000
 
DetailsBiometric Identity
Verification Using
On-Line & Off-Line
Signature Verification
Alisher KholmatovBiometrics is the utilization of biological characteristics
(face iris fingerprint) or behavioral traits (signature
voice) for identity verification of an individual
Biometric authentication
ThesisSabanci University2003
DetailsBiometric perils and
patches
Ruud M. Bolle, Jonathan
H. Connell, Nalini K.
Ratha
 JournalPattern Recognition 
DetailsBiometrics: The Future of
Identification
Sharath
Pankanti
Ruud M.
Bolle,Anil Jain
  IEEE 
DetailsBIOMETRIK KONUSMACI
TANIMA IÇIN BIRLESIK
SES-GÖRÜNTÜ ISLEME
Y. Yemez, A. Kanak, E.
Erzin ve A. M. Tekalp
 PaperSIU'2003 
DetailsBONSAI: 3-D object
recognition using
constrained search
patrick J. Flynn anil k.
Jain
BONSAI a model based 3D object recognition system
is described It identifies and localizes 3D objects
in range images of one or more parts that have been
designed on a computer aided design ...
JournalIEEE transactions on
pattern analysis and
machine intelligence
1991
DetailsBoundary detection by
constrained optimization
donald geman, stuart
geman, christine
graffigne, ping dong
We use a statistical framework for finding boundaries
and for partitioning scenes into homogeneous regions
The model is a joint probability distribution for
the array of pixel gray levels and an ...
JournalIEEE TRANSACTIONS ON
PATTERN ANALYSIS AND
MACHINE INTELLIGENCE
 
Detailsboundary extraction of
discrete objects
yukiko kenmochi, atsushi
imiya, akira ichikawa
One of the aims in the field of computer vision
is to acquire information about the geometric and
topological properties of objects in a three dimensional
world First we measure the objects and ...
Journalcomputer vision and image
understanding
 
DetailsBoundary Finding with
Correspondence Using
Statistical Shape Models
Yongmei Wang and Lawrence
H. Staib
We propose an approach for boundary ¯nding where
the correspondence of a subset of boundary points
to a model is simultaneously determined Global
shape parameters derived from the statistical ...
Conference PaperProc. IEEE Conf. Computer
Vision and Pattern
Recognition, pp. 338-345,
1998
1998
DetailsBoundary Finding with
Parametrically Deformable
Models
Lawrence H. Staib, James
S. Duncan
Segmentation using boundary finding is enhanced
both by considering the boundary as a whole and
by using model based global shape information The
authors apply flexible constraints in the form
Journal PaperIEEE Transactions on
Pattern Analysis and
Machine Intelligence
1992
DetailsBoundary Finding with
Prior Shape and
Smoothness Models
Yongmei Wang, Lawrence H.
Staib
We propose a unified framework for boundary finding
where a Bayesian formulation based on prior knowledge
and the edge information of the input image (likelihood)
is employed The prior ...
Journal PaperIEEE TRANSACTIONS ON
PATTERN ANALYSIS AND
MACHINE INTELLIGENCE,
VOL. 22, NO. 7, JULY 2000
2000
DetailsBounds and estimates for
power absorption in
two-dimensional highly
lossy configurations
D. Razansky, D. F.
Soldea, and P. D.
Einziger
Electromagnetic power absorption in biological tissues
has recently received due scientific and public
attention particularly in the areas of cellular
communication and hyperthermic treatments ...
Journal PaperJournal of Applied
Physics
2004
DetailsBounds on the number of
samples needed for neural
learning
Kishan G. Mehrotra,
Chilukuri K. Mohan and
Sanjay Ranka
The relationship between the number of hidden nodes
in a neural network the complexity of a multiclass
discrimination problem and the number of samples
needed for effect learning are discussed ...
JournalIEEE transactions on
neural networks
 
DetailsBrief Report on Facial
Feature Extraction
Hatice ÇınarA literature overview prepared by a Bogazici Univ
student on March 25 2005 ...
Report  
DetailsCAD-based computer
vision: from CAD models
to relational graphs
patrick J. Flynn anil k.
Jain
The topic of model building for 3 D objects is examined
Most 3 D object recognition systems construct models
either manually or by training Neither approach
has been very satisfactory ...
JournalIEEE transactions on
pattern analysis and
machine intelligence
 
DetailsCADCAM's new philosophy:
engineering-driven design
michael p. Harrison-Lowe,
applicon
The evolution of computer aided design has followed
a logical but largely unimaginative course The
CADCAM industry is on the brink of new developments
however that will fundamentally change
Journal  
DetailsCAGD's Top Ten: What to
Watch
Gregory M. Nielson JournalIEEE 
DetailsCapturing Subtle Facial
Motions in 3D Face
Tracking
Zhen Wen, Thomas S. HuangFacial motions produce not only facial feature points
motions but also subtle appearance changes such
as wrinkles and shading changes These subtle changes
are important yet difficult issues for ...
Conference PaperNinth IEEE International
Conference on Computer
Vision
(ICCV&#8217;03)
2003
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